Talon.One Aims to Standardize Incentives for AI Shopping Agents

BERLIN – January 28, 2026 – Incentives technology firm Talon.One today announced the launch of its Unified Incentives Protocol (UIP), a new set of standards designed to make brand promotions and loyalty programs machine-readable for the coming wave of AI-powered shopping agents. The move addresses a critical challenge for businesses preparing for 'agentic commerce,' a future where autonomous AI assistants will increasingly make purchasing decisions on behalf of consumers.

The new protocol aims to create a universal language that allows AI agents to discover, understand, and factor in complex incentives like loyalty points, tier status, and personalized discounts, ensuring that brand value is communicated beyond just the price tag. This initiative positions the company at the forefront of a technological shift that analysts predict will fundamentally reshape the digital marketplace.

The Dawn of the Agentic Commerce Era

Agentic commerce represents a significant evolution from today's e-commerce landscape. It describes a paradigm where consumers delegate shopping tasks—from product research and comparison to the final purchase—to autonomous AI agents. These agents are expected to operate with increasing independence, acting on user goals derived from conversations, calendar events, or other digital signals.

This shift is no longer a distant concept. Market projections underscore the urgency for brands to adapt. A landmark report from Morgan Stanley estimates that agentic commerce could capture between 10% and 20% of the U.S. e-commerce market by 2030, representing a staggering $190 billion to $385 billion in annual spending. Other analysts, including McKinsey, project even larger global figures, suggesting the orchestrated revenue from agentic commerce could reach trillions. This rapid adoption is fueled by the growing sophistication of AI models and the consumer desire for more passive, frictionless shopping experiences.

However, this AI-mediated future presents a profound challenge: discoverability. For an AI agent to consider a brand, its entire value proposition—including product catalogs, policies, and special offers—must be structured in a machine-readable format. Without it, brands risk becoming invisible to the very agents making purchasing decisions, no matter how strong their customer loyalty is in the human world.

A Universal Language for Value Beyond Price

Talon.One's Unified Incentives Protocol is designed to solve this exact problem by standardizing how incentives are communicated to AI. The core objective is to enable brands to compete on factors other than price, which can be relentlessly compared by algorithms, potentially triggering a race to the bottom on margins. UIP allows AI agents to conduct a more holistic value assessment.

“Agentic commerce represents a fundamental shift in how customers discover and choose brands,” said Christoph Gerber, CEO of Talon.One, in the company's announcement. “In this new reality, incentives will be a core part of how value is communicated to AI agents. With the Unified Incentives Protocol, we’re giving businesses the standards they need to remain discoverable, differentiated and competitive in agent-based commerce.”

The practical application is compelling. Gerber illustrates a scenario where an AI agent like Google's Gemini might recommend one brand over another, “not just on price or preference, but because the purchase would earn the shopper 200 loyalty points and unlock Gold tier status.”

In this model, incentives are no longer an afterthought applied at checkout but become an integral part of the AI’s decision-making logic. This allows brands to leverage their investments in loyalty and customer relationship management as a key differentiator in the new agentic ecosystem, fostering long-term value over short-term price cuts.

Integrating with the Emerging AI Ecosystem

To ensure immediate relevance and adoption, Talon.One has launched the first building blocks of UIP as extensions for a major emerging standard: Google's Universal Commerce Protocol (UCP). UCP is part of a broader industry effort, supported by the Linux Foundation’s Agentic AI Foundation, to create the foundational layers for secure and interoperable autonomous commerce.

While UCP provides a robust framework for general commerce, its native support for the nuances of loyalty programs has been limited. Talon.One's new extensions, which are already live for its customers, directly fill this gap. The loyalty and discount extensions provide UCP-enabled agents with:

• Clear visibility into a customer’s loyalty point balance and current tier status.
• A standardized understanding of how points are earned or redeemed within a specific transaction.
• Support for card-based loyalty programs, a key feature that allows for the application of loyalty benefits without requiring complex identity-linking procedures, thus simplifying the process for the AI agent.

“As AI agents increasingly influence purchase decisions, businesses now have a unique opportunity to define how loyalty and long-term value are understood from the outset,” commented Laurens Van Wiele, CPO of Talon.One. He emphasized that the UCP extensions are just the beginning.

“Our ambition is to continue developing the UIP and ensure every Talon.One incentive, from loyalty to personalized promotions, can be fully understood and applied across all agentic channels,” Van Wiele stated.

Navigating the Challenges of an AI-Mediated Future

The launch of UIP comes at a time when the industry is grappling with the strategic implications of AI. Experts from firms like IDC have repeatedly highlighted that a primary obstacle for retailers is fragmented and unstructured product data, which severely limits discoverability by AI. A standardized protocol for incentives is a critical piece of this larger data-readiness puzzle.

Furthermore, consumer trust remains a significant hurdle. Research from Forrester indicates that many online adults are still hesitant to share personal data with generative AI tools, creating a barrier to adoption. By creating a transparent and consistent standard for how incentives are processed, protocols like UIP could help demystify the decision-making of AI agents, making their recommendations more trustworthy and understandable to the end user.

For Talon.One, which powers incentives for global enterprises like Adidas, Sephora, and Carlsberg, this move is a strategic play to become an indispensable layer in the future of retail. As the line between human and machine-driven shopping continues to blur, the ability to communicate the full spectrum of a brand's value will be paramount. The development of such open standards will be critical in shaping a competitive and value-driven digital marketplace for the decade to come.